institutional logic: the tale of overstatement of ... · governance guideline in a developing...
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Institutional logic: the tale of overstatement of compliance with a corporate
governance guideline in a developing country, Bangladesh.
Abstract Manuscript Type: Empirical
Research Question/Issue: This study seeks to understand whether publicly listed companies in Bangladesh
overstate compliance with the Bangladesh Corporate Governance Guidelines-2006 (hereafter ‘the BCGG-2006’)
in annual reports.
Research Findings/Insights: This study conceptualized overstatement of compliance by the difference between
the compliance with the BCGG-2006 as reported in annual reports and the compliance with the BCGG-2006 as
stated in a confidential survey addressed to company secretaries. We found that there is a significant
overstatement of compliance with the BCGG-2006 in annual reports. We also found that overstatement of
compliance in annual reports is positively associated with control by sponsor family and is not associated with
control by institutional investors.
Theoretical/Academic Implications: This study provides empirical support for the theory of path dependence of
corporate governance and the neo-institutional theory rather than agency theory with respect to motivation for
overstatement of compliance with in annual reports in a developing country context. As such, this study
questions prior research on corporate governance in the context of developing countries that uses compliance
reported in annual reports to measure corporate governance variable.
PR actioners/Policy Implications: This study offers insights to international financial institutions and domestic
regulatory agencies in developing countries that advocate for corporate governance reform based on an Anglo-
American model. In addition, it provides a perspective for national and international investors to understand
corporate governance structure of companies in developing countries differently rather than solely relying on the
compliance reported in annual reports if they are considering making an investment in these companies.
INTRODUCTION
Corporate governance (CG) codes based on Anglo-American model have been adopted by
nations worldwide due to efficiency-based and legitimacy-based reasons (Zattoni and
Coumo, 2008). The legitimacy-based reasons have been particularly pronounced in
developing countries (Reed, 2002; Siddiqui, 2010; Cuervo, 2002; Reid, 2003). Depending on
the nature of issuing authority, the adoption of a CG code creates different types of pressures
for compliance, and non-compliance can result into a loss of external legitimacy (Aguilera &
Cuervo-Cazurra, 2004). However, CG practices are embedded in a country’s institutional
environment (e.g., Kim and Ozdemir, 2014; Khanna, Kogan & Palepu, 2006; Aguilera,
Filatotchev, Gospel & Jackson, 2008; Aguilera and Jackson, 2003; 2010) and compliance with
CG codes which are counter to the wider social values, existing rules and laws and cognitive
structures of the concerned country may discount legitimacy (Sanders and Tuschke,
2007:40). The institutional characteristics of developing countries are distinct from Anglo-
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American countries (Claessens and Yurtoglu, 2013; Wanyama, Burton & Helliar, 2009; Khanna
and Palepu, 2004; Sing and Zammit, 2006; Pardes, 2004; Dela Rama 2012) and some
scholars have argued that Anglo-American model is ‘unsuitable for developing country
economies’ (Sing and Zammit, 2006:221). Moreover, compliance with new CG codes can be
resisted by a powerful interest group in fear of reduction in their private benefits of control
offered by existing CG practices (Bebchuk and Roe, 1999). Thus, firms’ responses toward
compliance with a CG code based on Anglo-American Model in the context of developing
countries are subject to conflicting institutional demands.
To date, there has been extensive descriptive research into compliance with CG codes both in
non-Anglo-American developed (v Werder, Talaulicar & Kolat, 2005; Akkermans, Van Ees,
Hermes, Hooghiemstra, Van der Laan, Postma, & Van Witteloostuijn, 2007; Talaulicar and V
Werder, 2008) and developing countries (e.g., Chen and Nowland, 2011; World Bank, 2009).
These researchers consistently found that majority of firms comply with the majority of the
provisions of the CG code. To illustrate, Talaulicar and V. Werder (2008) find that 96.81
percent of sample firms on average comply with 92.32 percent of ‘comply or explain’ based
recommendations of the German Corporate Governance Code. This high level of reported
compliance which are not consistent with the ‘comply or explain’ principle leads several
researchers (e.g., v. Werder et al., 2005; Akkermans et al., 2007:1109) to explicitly caution
that compliance rates based on public disclosures may overstate actual compliance.
Furthermore, researchers draw on interview and survey methods as the source of evidence on
compliance. These researchers found some evidence (e.g. Uddin and Choudhury 2008,
Wanyama et al. 2009) that where enforcement regimes are weak there may be undisclosed
failure to meet expected standards of CG. This suspicion regarding the level of compliance
with CG code reported in annual reports leads us to ask the main question of this study, does
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compliance reported in annual reports overstate the reality of compliance with a CG code in a
developing country?
The widespread adoption of Anglo-American model has been frequently perceived as
evidence of institutionalization (Enrione, Mazza, & Zerboni, 2006). However, the conflict
between institutional characteristics of developing countries and Anglo-American model
poses threat to its taken-for-grantedness (Soederberg 2003: 17–18, 23; Sing and Zammit,
2006; Pardes, 2004). This implies that companies operating in developing countries face
conflicting institutional logics with regard to implementation of CG mechanisms. Thus, this
study used organisational responses to institutional change subject to competing institutional
logics framework as a theoretical framework. This framework has been used to investigate
diffusion of CG mechanisms (Chizema, 2008; Fiss and Zajak, 2004; Westphal and Zajak,
1998; Westphal and Zajak, 1994) and International Financial Reporting Standards (Alon,
2013) in environments where competing institutional logics exist. Most of these studies, due
to their reliance on public sources for data, took binary approach of either compliance/non-
compliance (e.g., Chizema, 2008) or substantial/ceremonial compliance (e.g., Westphal and
Zajak, 1994). However, theoretical development suggests that organizations use more than
these dichotomous strategic responses while they face competing institutional logics (Pache
and Santos, 2010; Kraatz and Block, 2008; Seo and Creed, 2002; Oliver, 1991; review by
Greenwood, Raynard, Kodeth, Micelotta and Lounsbury, 2011). We take this route of
theoretical development to generate hypothesis in order to understand: Does the level of
compliance with a CG code as reported in annual reports overstate the reality of compliance
with CG code? Moreover, how can the extent of overstatement of compliance with CG code
as reported in annual reports be explained?
To inform and support our hypotheses, we use data from a developing country, Bangladesh.
Data sources include a survey of actual practice and content analysis of annual reports.
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Bangladesh is chosen because, although the Bangladesh Corporate Governance Guideline-
2006 is based on Anglo-American model and thus, draws on ‘comply or explain’ principle, a
compliance checklist is required by the Bangladesh Securities and Exchange Commission as
an item in the annual reports. This gives us an opportunity to more accurately measure
reported compliance. Furthermore, the BCGG-2006 is adopted to prove legitimacy of
government and regulatory agencies to international financial institutions (IFIs) but
institutional and firm characteristics of Bangladesh suggest that Anglo-American model is
not an appropriate model (Siddiqui, 2010). Given these, Bangladesh seems a potential
laboratory in which to investigate overstatement of compliance in annual reports.
We find supports in favour of our hypotheses. While prior researchers find that organisations
are complying with institutionally contested CG mechanisms either substantially or
ceremonially based on public disclosure (Westphal and Zajak, 1994; 1998; 2004), our paper
demonstrates that organizations seek legitimacy by disclosing compliance in annual reports
while disregard compliance in reality. We also make general contribution to institutional
literature. Further contribution is methodological, in distinguishing reported CG disclosure
from real CG compliance, and in corroborating empirical findings with interviews.
The remainder of the paper proceeds as follows. The next section discusses CG practices in
Bangladesh. In section three, we present our theoretical framework. Section 4 develops our
hypotheses. Section 5 outlines the research design while section 6 presents the findings of the
study. Section 7 concludes the paper and addresses the study’s limitations.
CORPORATE GOVERANNCE IN BANGLADESH
The importance of CG practices in Bangladesh attracted attention of the IFIs and the
domestic regulators after the stock-market crash in 1996. In November 1997, the Asian
Development Bank (ADB) funded an $80 million project to transform Bangladesh capital
markets toward an Anglo-American model (ADB, 1997). This programme consists of seven
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technical assistances; one of them is Building Capacity of the Securities and Exchange
Commission and Selected Capital Market Institutions which costs $1.10 million. The first
objective of this technical assistance was to draft a comprehensive CG manual for public
limited companies and security issuers. This project was executed by the ADB with the help
of an USA consultant, The Aries Group Ltd., USA who formulated a CG guideline in line
with OECD’s Principles of CG (ADB, 2005). The Bangladesh Securities and Exchange
Commission (hereafter ‘the BSEC’) adopted the CG guideline in 2006 (hereafter ‘the BCGG-
2006’) (BSEC order No. SEC/CMRRCD/2006-158/Admin/02-08, dated 20 February 2006).
An earlier initiative was, however, taken by an IFIs-funded private-sector think-tank
organization, Bangladesh Enterprise Institute (BEI) toward improvement of CG. In 2003, BEI
conducted a comprehensive study on CG practices in Bangladesh funded by the IFIs. The
study found that the Bangladesh corporate sector lacked a sound CG structure due to country-
level institutional weaknesses such as lack qualified accounting and auditing profession,
ineffective and inefficient government-funded regulatory agencies and lack of effective
financial media and shareholder groups (BEI, 2003). This identification of weaknesses in CG
practices might be an initiative of the IFIs to create a normative isomorphism about Anglo-
American model of CG (c.f. Reed, 2002). In 2004, BEI issued a CG code (hereafter ‘the
voluntary BCGC-2004) in line with the OECD Principles of CG-1999. While developing the
CG code, BEI formed a taskforce on CG and a working group. The taskforce on CG included
a number of managing directors of local publicly listed companies and subsidiaries of foreign
multinational companies; a number of top officials from the Bangladesh government;
president and similar level officials from the professional accounting bodies and other
professional institutes; top officials of BSEC including chairman and CEO of a stock
exchange and president of foreign investors’ Chamber of Commerce. The working group
includes a number of foreign consultants, a number of Supreme Court advocates, an audit
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partner from KPMG affiliated audit firm in Bangladesh and CEO of the first private sector
mutual fund company. The BEI might include the aforementioned group of professionals to
create normative, coercive and mimetic pressures on companies (c.f., Aguilera and Cuervo-
Cazurra, 2004; Seidl, 2007).
The BSEC adopted the BCGG-2006 on ‘comply or explain’ basis. Siddiqui (2010) argued
that by adopting the BCGG-2006 which is remarkably similar to the CG code of BEI, the
BSEC proved its legitimacy to the IFIs. The BCGG-2006 is subsequently considered as part
of the listing rules of both DSE and CSE. Several legal rules have also been enacted in line
with Anglo-American model making Bangladesh theoretically a country with an investor
protection index higher than OECD high income average (World Bank, 2013: 65). According
to the BCGG-2006, listed companies have to include a ‘comply box’ in their annual report or
otherwise explain the reason for non-compliance. An investigation of level of compliance
with the BCGG-2006 as reported in annual reports by World Bank found that reported
average compliance with the BCGG-2006 reached 82 percent in 2008 (World Bank, 2009;
p.41). Based on these findings, World Bank claimed that there has been a significant
improvement in CG practices of firms in Bangladesh.
Although the effort of IFIs, their funded local think-thank organization and regulatory
agencies have created normative, coercive and mimetic pressures on companies for
implementing CG practices similar to Anglo-American countries, wider social, regulatory,
political and cultural factors of Bangladesh limit legitimacy of Anglo-American-based CG
practices. At present, like many other developing countries (e.g., Claessens and Yurtoglu,
2013; Claessens, Djankov & Lang, 2000), the ownership of Bangladeshi companies are
concentrated in sponsor families and groups (Haque, Arun, & Kirkpatrick, 2011; Imam and
Malik, 2007). As in other developing countries (Claessens et al., 2000; Fan, Wei and Xu,
2011), the sponsor families also maintain significant control over their companies by
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representing board and key management positions (Haque et al. 2011). Few families have
control over manufacturing, financial and service sectors (Nuruzzaman, 2004). Several
researchers maintained that Bangladesh is a decent example of family capitalism which it
developed due to the intervention of the IFIs into its development policies, and patronization
of own political alliances and corruption by the contemporary ruling parties since 1975 when
Bangladesh moved to market-based capitalism (Uddin, 2005; Uddin and Chowdhury, 2008;
Uddin and Hopper, 2001). At present, most of the industrial families are either directly or
indirectly politically connected with one of two major political parties (Jahan and Amundsen,
2012; Uddin, 2009) making them even more powerful. Consequently, sponsor families can
easily prevent general shareholders to publicly challenge CG practices in several means
(Uddin and Chowdhury, 2008). On the other hand, external stakeholders lack skills and
motivation to confront managers with respect to CG practices (BEI, 2003).
In spite of IFIs suggested significant economic and policy reforms since 1980s, capital
markets are still small and highly volatile (Chowdhury, 2013) and populated mostly by
poorly-literate ill-informed retail ‘momentum’ investors (The Aries Group Ltd, 2012).
Sponsors can easily manipulate stock price by several legal and illegal means (Khaled,
Chowdhury, Baree and Kabir, 2011). Moreover, inefficiency, corruption and politicization of
the regulatory agencies and the judicial systems still remain a critical issue (World Bank,
2009; 2011; The Aries Group Ltd, 2012). As a result, theoretically strong legal framework
fails to properly protect private property rights (World Heritage Foundation, 2014).
Consistent with wider socio-political environment such as corruption, dominance (Belal and
Cooper, 2011) and high power distance (Hofstede, Hofstede & Minkov, 2010), CG practices of
Bangladesh is inherently relation-based (Uddin and Chowdhury, 2008). Companies are
managed by appointing employees loyal to sponsor families in key management positions
and relying on ‘informal, familial and personal control’ (Uddin, 2009:791). As in other
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relation-based systems (Li, 2013: 568), Bangladeshi firms need to bribe and make other off-
the-record payments to government officials and other regulatory authorities to obtain
business permits and necessary utilities (World Bank, 2013). Uddin (2009:789) maintained
that to conceal these irregular payments in external reports, firms prepare accounting
information under strong secrecy and control. External auditors lack independence and are
vulnerable to the power of sponsor families (Uddin and Chowdhury, 2008). Consequently,
published accounting reports do not properly comply with adopted IASs/IFRSs (Mir and
Rahaman. 2005; World Bank, 2003), disclose majority of items mandated by IASs/IFRSs
(Ahmed and Nicholls, 1994; Uddin and Hooper, 2003; Akhtaruddin, 2005) and provide
quality and reliable information (Wu, 2005). Outside stakeholders predominantly rely on
private relations with sponsor mangers for acquiring information and for protecting their
interests. For instance, Banks maintain close relationship with non-financial companies and
provide loans based on past relationship and collateral (BEI, 2003).
The high level of compliance with the BCGG-2006 as reported in annual reports (World
Bank, 2009) is doubtful given the above mentioned wider social, regulatory, political and
cultural environment. Indeed, research based on interview and survey method provided a
contradictory picture of CG practices (Uddin and Choudhury, 2008; Haque et al, 2011). For
instance, Uddin and Choudhury (2008, p.1045) found, by applying interview method, that
companies in Bangladesh fail to comply with basic corporate rules and regulations, with the
dominance of sponsor families weakening the state’s power in the enforcement of rules and
regulations. This is consistent with survey evidence of Haque et al. (2011) who found that
sponsor family and political affiliation of directors hinder improvement in CG in Bangladesh.
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THEORITICAL FRAMEWORK
The adoption of a CG code, in general, creates different types of isomorphic pressures for
compliance with code provisions (Aguilera and Cuervo-Cazurra, 2004; Seidl, 2007; Zattoni
and Cuomo, 2008; p. 2). However, as CG practices are embedded in a country’s institutional
environment (e.g., Kim and Ozdemir, 2014; Khanna et al., 2006; Aguilera et al., 2008;
Aguilera and Jackson, 2003; 2010), national institutions and some of the stakeholders may
exert competing pressures for maintaining status quo (Lee and Yoo, 2008). Institutional
theorists have assimilated such situation with adoption of a new practice subject to competing
institutional logics within an institutional context (Sanders and Tuschke, 2007; Bates and
Hennessy, 2010).
Isomorphic pressures generate legitimacy discounts for organizations whose responses are
not satisfactory to constituents prescribing new practice (Deephouse and Carter, 2005:333;
Meyer and Rowan, 1977; DiMaggio and Powell, 1983). Some new-institutional scholars,
therefore, argued that all organisations inevitably comply with new practices (e.g., Scot,
2001; p.170) leading to homogenous organisational practices within an organizational field
(e.g., Strang and Soule, 1998). Recent neo-institutional scholarship has, however,
undermined the absolute role of isomorphic pressures and posited the role of institutional
logics in determining how organizations impliment new practices (Thornton and Ocasio,
1999; 2008; Kraatz and Block, 2008; Lounsburry, 2008; review by Greenwood et al., 2011).
Institutional logic approach acknowledges that organizational responses to institutional
pressures are rational behaviour which is shaped by field-level institutional processes,
organizational-level dynamics and individual-level experiences and identities (Pache &
Santos, 2010; Thornton and Ocasio, 2008; Greenwood and Hinings, 1996). To create a
context for our hypotheses, we discuss the concept of competing institutional logics and the
nature and role of organizational field, organizations and individuals in shaping
organizational responses to institutional pressures within institutional logics.
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Institutional logics acknowledge that institutional pressures are often fragmented (Friedland
and Alford, 1991) and there exists conflict among external constituents (Briscoe and Murphy,
2012: 553; Kraatz and Block, 2008; Pache and Santos, 2010) as well as between external and
internal constituents (Westphal and Zajak, 2001; Fiss and Zajak, 2004). When competing
institutional demands exist, organizations need to maintain ‘pluralistic legitimacy’ (Kraatz
and Block, 2008:249) because organizational responses which may be perceived legitimate
by one constituent may be perceived illegitimate by another constituent (Pratt and Foreman,
2000; Stryker and Burke, 2000). Consequently, under condition of competing institutional
logics organizations can exercise some level of strategic choice to gain and maintain
legitimacy (Friedland and Alford, 1991; Sewell, 1992; Whittington, 1992; Clemens and
Cook, 1999; Dorado, 2005). Theoretical development suggests that organizations facing
competing institutional logics strategically choose either an individual or a combination of
alternatives among four types of strategic choices – compromise, avoidance, manipulation
and defiance - to gain and maintain legitimacy (Pache & Santos, 2010; Scherer, Palazzo and
Seidl, 2013; Oliver, 1991). Among these strategies, the avoidance strategy which includes
ceremonial window dressing to conceal non-conformity with institutional demands attracted
much empirical attention, especially with respect to study of formal compliance programs
(Hafner-Burton and Tsutsui, 2005; Cashmore, 2002; MacLean and Behnam, 2010; Maclean,
Litzky and Holderness, 2014). This may be because compromise involving balancing,
pacifying and bargaining with institutional referents, defiance involving rejecting institutional
demands, and manipulation involving attempt to control the source of content of the
institutional demands are difficult to exercise with respect to formal compliance program.
Ceremonial window dressing is analogous to the concept of decoupling in early neo-
institutional formulations (Westphal and Zajak, 1994; 2001; Elsbach and Sutton, 1992;
Hafner-Burton and Tsutsui, 2005; review by Bromley and Powell, 2012). For instance, by
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decoupling Westphal and Zajak (1994) indicate a situation in which organizations declare
adoption of CEO long-term incentive plans without its actual implementation.
Institutional logic approach argues that organizational strategic responses are affected by
three levels – the organizational field, the organization and the individual - which are
practically and conceptually inseparable actors (Friedland and Alford, 1991: 242).
Organizational field represents the cognitive-cultural, normative, and regulatory environment
in which organizations function (Scott, 1995, Kostova, Roth and Dacin, 2008) and
characterizes the power dynamics and coalitions among all referent audiences such as focal
organizations, regulatory agencies, key resource providers, professional associations
(DiMaggio and Powell, 1983; Scott, 1995). The central construct of competing institutional
logics is that organizational fields are fragmented in nature, less formalized (Meyer, Scott and
Strang, 1987) and there may be a lack of consensus among cognitive-cultural, normative, and
regulatory pressures (Greenwood and Hinings, 1996) and among referent audiences regarding
institutional prescriptions (Pache and Santos, 2010). This lack of consensus suggests that no
single prescription achieves a taken for granted status (Purdy and Gray, 2009) providing
discretion to organizational members regarding selection of responses to gain legitimacy
(Goodrick and Salancik, 1996). Decoupling enables organizations to deal with ambiguity in
heterogeneous environment (Christensen and Molin, 1995; Ruef and Scott, 1998; Kostova
and Roth, 2002). For instance, Kostova and Roth (2002) has demonstrated that organizations
more likely decouple a practice when the practice is recommended and enforced by
regulatory institutional profile but is less favoured by normative and cognitive institutional
profiles. Although the Anglo-American model is recommended by regulatory institutional
profile, it may be less favoured by normative and cognitive institutional profiles of
developing countries. A heterogeneous field further characterised with lack of professional
associations and social groups with power to enforce implementation of new practices may
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encourage firms to decouple new practices further to gain and maintain legitimacy
(Greenwood, Suddaby and Hinings, 2002; Rao, Morrill and Zald, 2000). This is particularly
the case in respect of developing countries which lack strong association of shareholders and
mutual funds and financial media (Pardes, 2004).
Organizational field-level institutional logics provide a part understanding of organizational
responses to institutional pressures (Broadbent, Jacobs and Laughlin, 2001) because field-
level institutional logics are filtered through organizational-level dynamics (Boxenbaum and
Perderson, 2009; Greenwood and Hinings, 1996). Organizations are heterogeneous entities
composed of functionally differentiated groups pursuing goals and promoting interests
(Greenwood and Hinings, 1996). Hence, organizational field-level recommendations may
‘acquire different meaning when they are implemented in different organizational contexts’
(Boxenbaum and Perderson, 2009: 190). Research has shown that organizations that lack of
resources to implement new practice more likely use window dressing as a response
(Bromley, Hwang and Powell, 2012). Research has shown that corporations invest in new
practice and protect their legitimacy as long as benefits exceed or at least equal the costs
(Siegel, 2009; Sprinkle and Maines, 2010; Scherer at al., 2013). For instance, Scherer at al.
(2013) have shown that when cost of implementing corporate social responsibility strategy is
high, organizations adopts manipulation strategy to gain legitimacy when pressures arise
from sustainable development.
Central to competing institutional logics are social agents both internal and external to the
organization (Kostova et al., 2008; Thornton and Ocasio, 2008; Pache & Santos, 2010).
Individual-level experiences and identities of these social actors influence their cognitive
processes to their understanding of what is a legitimate organizational response under
conflicting institutional pressures (Aurini, 2006; George, Chattopadhyay, Sitkin, & Barden,
2006). The relative power and influence of social actors would create variation in
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organizational responses since responses which protect the interest of one group of social
actors may hamper interest of another. Both theory and empirics suggest that when personal
interests of managers are potentially threatened by adoption of new practice (Pache and
Santos, 2010:465; Fiss and Zajak, 2004; Westphal and Zajak, 2001; Oliver, 1991), or when
managers lack rationale for implementation of a new practice (Sauder and Espeland, 2009:
63; Bromley et al., 2012), selection of avoidance strategy is more likely to maintain
legitimacy to external constituents. Westphal and Zajak (1994; 2001), for instance, have
shown that how potential threat on managers’ personal interests exerted by CEO long-term
incentive plans and stock repurchase programme let organizations declare adoption of the
plan and stock repurchase program without their actual implementation. Similarly, Bromley
et al. (2012) have demonstrated that window dressing with respect to strategic planning in
response to pressure from funding agencies is positively associated with the absence of
managerial rationale in non-profit organizations.
Finally, relative power of external constituents actively influence the organizational actions
as organizations depend on external constituents for resources and legitimacy provides access
to key resources (e.g., Pfeffer & Salancik, 1978). DiMaggio (1988: 14) argued that “new
institutions arise when organized actors with sufficient resources see in them an opportunity
to realize interests that they value highly.” Oliver (1991) support the above arguments and
argued that if the new practice is favoured by external constituents who are uniform in terms
of demand and powerful in term of source of resources, firms more likely acquiescence to the
demand of that constituent. Ultimate power over an organization lies with ownership if
sources of resource are considered. Among different ownership groups, institutional
blockholders are more powerful in terms of uniformity of demand. Westphal and Zajak
(2001) argued that the presence powerful of institutional investors reduces the gap between
espousal and implementation of CG mechanisms (Westphal and Zajak, 2001).
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Statement on compliance with CG code provisions - A tool to seek legitimacy
CG code of a nation is generally a formal set of best practice recommendations regarding
characteristics of board and its sub-committees and other internal CG mechanisms (Chizema,
2008:360; Zattoni and Cuomo, 2008). Compliance with a corporate governance code follows,
in many cases, a ‘comply or explain’ principle. This principle recognizes that a ‘one size fits
all’ approach is not justified for CG (MacNeil and Li, 2006:486) and thus, permits firms to
non-comply with a specific provision of the code if firms cannot comply with it (Coombes
and Wong, 2004; Seidl, 2007). That is, compliance with a code provision is voluntary
(Zattoni and Cuomo, 2008; p. 2). However, a company subject to a code has to often issue a
statement on compliance and specially report and justify non-compliance. This requirement
makes compliance statement a key legitimacy seeking tool because by compliance statement
organizations seek approval about their CG structures (Seidl, Sanderson, and Roberts, 2013).
Compliance statement is extensively used by researchers to quantify compliance (von Werder
et al. 2005; Arcot, Bruno, and Faure-Grimaud, 2010; Seidl et al., 2013; Talaulicar and von
Werder, 2008; Akkermans et al., 2007). These researchers mostly look into compliance with
observable provisions, such as information on attendance at board meetings, composition of
the board of directors, or the proportion of independent non-executive directors. The results
of these studies indicate that majority of firms comply with the majority of the provisions of
the corporate governance code. Zattoni and Cuomo (2008) argued that this high level of
compliance reflects formal influence of CG codes on CG structures of listed companies.
Researchers who study level of compliance with CG code also speculate several reasons for
this seeming over-compliance with CG codes: pressures from capital markets (Arcot et al.,
2010; v. Werder et al., 2005; Akkermans et al., 2007) and peer companies (Wymeersch 2006;
Talaulicar and v. Werder, 2008); monitoring by regulatory authorities such as stock
exchanges and their regulators (Wymeersch 2006; Arcot et al., 2010; Burton, 2000; Aguilera
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& Cuervo-Cazurra, 2004); pressures from spontaneous constituents such as academics,
consultancy firms and the media (Wymeersch, 2006; Akkermans et al., 2007); risks of
reputational damage arising from non-compliance (Wymeersch 2006; Hooghiemstra and van
Ees, 2011) indicating that compliance with CG codes help firms to gain legitimacy.
Next, the organizational response to new prescription subject to competing institutional logics
framework is applied to examine overstatement of compliance with the BCGG-2006 in
annual reports.
Conflicting institutional demands and overstatement of compliance with the BCGG-
2006 in annual reports:
We described CG practices in the Bangladeshi context and reviewed competing institutional
logic’s perspective on how the organizational field, organizational dynamics and individual-
level experiences and identities of social actors influence organizational responses to
institutional pressures. We observe that issuance of the BCGG-2006 by the BSEC, the main
regulatory agency for listed companies in Bangladesh, and subsequent inclusion of the
BCGG-2006 into listing rules of stock exchanges created coercive pressures (c.f. Wymeersch
2006; Arcot et al., 2010; Aguilera & Cuervo-Cazurra, 2004). Non-conformance to coercive
pressures created by regulatory agencies threatens a firm’s regulatory legitimacy (e.g.,
Aldrich & Fiol, 1994; Ruef & Scott, 1998). Research in developed countries validated this
threat to firm’s regulatory legitimacy by demonstrating that managers perceive the ‘comply
or explain’ based CG code as regulative as a hard law (Seidl, Sanderson & Roberts, 2009).
Managers in Bangladesh are relatively naïve and do not understand the idea of CG (Jabed and
Rahman 2003 cited in Rahim and Alam, 2014). Hence, it is more likely that they will fail to
distinguish between the BCGG-2006 and a hard law. They may perceive that declaration of
non-compliance with the BCGG-2006 may threaten regulatory legitimacy although non-
compliance with an appropriate explanation is legitimate under a ‘comply or explain’ regime.
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However, normative and the cultural-cognitive structure of Bangladesh invoke limited
legitimacy threats for non-compliance with the BCGG-2006, as discussed below. Normative
legitimacy of the BCGG-2006 is tried to create by the IFIs and the private sector think-tank
organization funded by the IFIs, the BEI by identifying weaknesses in Bangladesh CG system
(c. f., Reed, 2002) and then by engaging a large number of practitioners and government-
officials in development of voluntary code (c. f., Seidle, 2007). Non-conformance to
normative pressures, however, threatens normative legitimacy when new institutional
prescription is consistent with wider social norms and values (Scott, 2001: 54). CG system of
Bangladesh is inherently relation-based (Uddin and Chowdhury, 2008). Firms in Bangladesh
need to bribe government officials for obtaining business permits and necessary utilities
(World Bank, 2013) and manage tax and custom related issues (Uddin, 2009). Johnson,
Kaufmann, and Zoido-Lobaton (1998) and Friedman, Johnson, Kaufmann, & Zoido-Lobaton,
(2000) asserted that high level of corruption motivates businesses to practice secretive
culture. Interview evidence of Uddin (2009) is consistent with aforesaid assertion. The
secretive culture is also reflected in inadequate development of accounting profession and
system in Bangladesh (Mir and Rahaman. 2005; World Bank, 2003). Consequently, banks,
main provider of finance, maintain close and long-term relationship with non-financial
companies and extend credit based on relationships and collateral (Siddique, 2010). This
suggests that larger belief-systems and experienced reality of the audience’s daily life of
Bangladesh are not consistent with Anglo-American model that asks for openness and
transparency. Thus, a firm’s normative legitimacy (Scott, 2001) in the Anglo-American
model is questioned. Firms’ poor compliance with the voluntary BCGC-2004 issued by the
BEI (World Bank, 2009) reflected this low normative legitimacy in Anglo-American model.
Corporate ownership in Bangladesh is concentrated in families and complex in nature (Haque
et al. 2011; Imam and Malik, 2007). It has been argued that Anglo-American model, as it is
17
designed for dispersed ownership companies, is not effective for concentrated-ownership
companies of developing countries (Jiang and Peng, 2011; Young, Peng, Ahlstrom, Bruton and
Jiang, 2008). Empirical evidence in developing countries with similar ownership
characteristics has demonstrated that board independence maintain no relationship with
market-based performance of firms (Connelly, Limpaphayom and Nagarajan, 2012; Black,
Carvalho, and Gorga, 2012; Chen, Li, and Shapiro, 2011). This evidence may imply that CG
mechanisms suggested by Anglo-American model are not ‘understood, recognizable and
located within the set of the widely held cognitive structures’ (Sanders and Tuschke,
2007:33) of market participants of developing countries, such as Bangladesh.
The effective implementation of the BCGG-2006 can create uncertainty for firms by
revealing illegal practices such as illicit payments to government officials. To avoid this
uncertainty, firms can engage in ‘window dressing’ to conceal their non-conformity with the
BCGG-2006 and prove their legitimacy to the BSEC and the stock exchanges. Window
dressing can be easily used given the relatively small, illiquid and inefficient stock markets of
Bangladesh and inefficiency and corruption of regulatory agencies which indicate that there
is a lack of strong collective action to reveal underlying non-conformity. Previous research on
reliability of accounting reports (Wu, 2005) and corporate social responsibility (Belal and
Cooper, 2011) indeed suggests that Bangladeshi firms used ‘window dressing’ in a routinized
manner to reduce tax and to gain legitimacy, respectively. For instance, Belal and Cooper
(2011) report the opinion of one of the company secretaries they interviewed:
We don’t have any written equal opportunity policy. But in our job advert we do say
that we’re an equal opportunity employer (Belal and Cooper, 2011; p. 663).
A logical extension of these findings on CSR to reporting compliance with BCGG-2006
indicates that Bangladeshi companies may overstate compliance in annual reports. Hence,
following hypotheses follow:
18
H1: There is a significant level overstatement of compliance with the BCGG-2006 as
reported in annual reports.
Legitimacy is determined by mutual observations between managers and external
constituents who recommend institutional change and observe managers actions (Seidl,
2007). Meyer and Rowan (1977) maintained that in order to gain legitimacy, organizations
change more visible and formal structure while ‘decouple’ internal structures in order to
maintain autonomy. Decoupling of internal structures is also less risky for organizations
because internal practices are less transparent to outsiders and thus, attract less negative
publicity, even if decoupling is revealed, and consequently cause less reputational damage
(Briscoe and Murphy, 2012). With respect to CG codes, Seidle (2007:713) hypothesised that
conformance between compliance with CG codes declared by managers and actually put into
action depends considerably on the extent to which external constituents are able to assess the
conformance. Specific empirical evidence also exists that organisations legitimate their CG
structures by appointing outside directors who have formal independence but not social
independence from CEOs as external constituents can more easily observe and monitor
formal independence than social independence (Westphal and Graebner, 2010). This follows
that organizations confirm better between disclosed compliance and actual compliance of
code provisions whose actual implementation are more observable by external constituents.
Alternatively, managers confirm less between disclosed compliance and actual
implementation of code provisions whose actual implementation are difficult to assess by
external constituents.
The BCGG-2006 contains provisions that can be divided into more observable and less
observable provisions. Hence, the second hypothesis is:
H2: The extent of overstatement of compliance with the BCGG-2006 is higher with
respect to the provisions of the BCGG-2006 which are less observable by outsiders.
19
The perceived legitimacy gain is not solely determined by how external constituents perceive
the new practice (Crilly, Zollo & Hansen, 2012) but also by how insiders perceive it as a
source of opportunity or threat for their organizational and personal interests (George et al.,
2006). One of the important characteristics of companies in Bangladesh is family-ownership
and control. Family companies differ from management-controlled companies in terms of CG
structure and strategic decision making process (review by Gomez-Mejia, Cruz, Berrone, and
De Castro, 2011). The CG structure of family-controlled firms is more informal and
centralized in nature than that of non-family firms. The existing CG structures of these
family-controlled firms may not be consistent with CG structures suggested by the BCGG-
2006. The inconsistency between internal structure and external pressure has been identified
as one of the reasons for window dressing of compliance. Moreover, family-controlled firms
requires less monitoring and extra-monitoring suggested by the BCGG-2006 may be counter-
productive. Indeed, evidence in a developing country has shown that extra-monitoring of
family-controlled firms often leads to lower-level financial performance (Chen and Nowland,
2010). Furthermore, effective implementation of the BCGG-2006 may require changing
existing CG structure and thus, incurrence of significant amount of costs, exceeding the
expected benefits of CG as stock market is small and these firms are reluctant to raise funds
from stock markets.
Moreover, family-affiliated managers have different normative believe structures
which often maintain that long-term capital investment, survival of the firm, and the intention
of passing the firm on to descendants are main goals of firms (Casson, 1999). Gomez-Mejia
and colleagues labelled it as desire for protection of socio-emotional wealth (Gomez-Mejia,
Haynes, Nuñez-Nickel, Jacobson, and Moyano-Fuentes, 2007; Gomez-Mejia, Makri, and
Kintana, 2010; Gomez-Mejia et al., 2011). The underlying rationale of Anglo-American
20
model, the maximisation of shareholder wealth in short-term (Porter, 1992), contradicts with
the above normative believe structures of family-affiliated managers. Interview and survey
research has, indeed, suggested that family-affiliated managers in Bangladesh maintain the
aforesaid substantive rationalities for compliance (Uddin, 2009: 785) and thus, resist
implementation of the BCGG-2006 (Uddin and Chowdhury, 2008:1030; Haque et al., 2011).
However, family-controlled companies are equally under regulative pressure either to comply
or explain non-compliance with the BCGG-2006 in order to maintain their listing status.
Furthermore, the pressures from the IFIs, local research organizations funded by the IFIs,
regulators is not lower for family-controlled firms. Indeed, the IFIs and their supporters have
long argued that family-control is the cause of poor corporate governance (e.g., Morck and
Yeung. 2004). By disclosing compliance with the BCGG-2006 in annual reports, family-
controlled firms can alleviate pressures from the IFIs and their supporters. Hence, third
testable hypothesis follows:
H3: Overstatement of compliance with the BCGG- 2006 as reported in annual reports
is positively associated with family control.
While our discussion so far suggests that outside shareholder interests are poorly
protected in Bangladesh, one uniform and important resource provider to organizations in
Bangladesh can be institutional blockholders who are independent of controlling families.
Prior interview evidence provided by Uddin and Chowdhury (2008) has indicated that
presence of representative of institutional investors on board of directors improves CG
practices. Empirical evidence has also shown that existence of outside blockers is positively
associated with firm performance, indicating that outside blockholders play monitoring roles
(Farooque, Zijl, Dunstan and Karim, 2007). Hence, the fourth testable hypothesis is:
H4: Overstatement of compliance with the BCGG- 2006 as reported in annual reports
is negatively associated with control by institutional blockholders.
21
RESEARCH DESIGN
Sample and data collection
The sample of this study consists of 91 non-financial companies that responded in a
self-explanatory questionnaire survey. The survey was conducted during January – March,
2012 and addressed to company secretaries or CFO. The survey was designed to collect
detailed data on compliance with the provisions of the BCGG-2006, family relationship
among directors, composition of board of directors and the ownership structure of the
company. With respect to compliance with the BCGG-2006, the questionnaire emphasises on
20 easily comparable provisions which can be compared with compliance reported in annual
reports without ambiguity. The questionnaire includes both open and closed questions. The
introductory letter of the survey describes that the purpose of the survey is to understand
underlying level of compliance with the provisions of the BCGG-2006 (Diamond, 2000),
promises confidentiality by ensuring anonymity of the respondents and his organisation (Van
der Stede et al., 2005) and provides an assurance that the outcome of the survey will not be
published in Bangladesh. This assurance was added to increase the reliability of the survey
responses. The questionnaire was pre-tested in person with a number of company secretaries
of local privately-owned companies. Based on the feedback of the pre-test, we deleted all
questions related to remuneration committee and nomination committee because these
questions are not applicable to Bangladesh yet.
The survey instrument (Appendix one) was mailed to all 136 non-financial companies
listed on the Dhaka Stock Exchange, Bangladesh as at 31 December, 2011. The names of the
company secretaries and the addresses of headquartersi of companies were retrieved from
Central Depository Bangladesh Limited. Banks and financial institutions were excluded
because they are subject to different governance rules under the regulatory authorities. One of
22
the researchers physically visited companies whose registered offices are situated in Dhaka
and personally persuaded the company secretaries or CFOs to take part in the survey in a
structured interview manner. He often used his alumni connections to reach the respondents.
By the end of March 2012, he ended up with 91 usable responses, a response rate of 66.91%.
In order to test for response bias, responders are compared with the population on the basis of
industry sectors, market capitalization and total assets (Wallace and Mellor, 1988). As shown
in Table 1, a chi-square test indicated no significant difference in the distribution of
companies across any of these categories.
<Insert table 1 here>
In order to have available the most recent accounting information at the date of the
survey, annual reports were collected for the full population of 136 non-financial companies,
for the financial year 2011 Reports are available in printed format, at the Bangladesh
Securities and Exchange Commission and Dhaka Stock Exchange Library. Year ends were
31 December (44 companies) or 30 June (47 companies). Relevant regulations were
unchanged over this period.
Data Analysis
We construct two measures of compliance [one for compliance as reported in annual reports
(ReportedCG) and one for compliance as stated in the survey (SurveyCG)] with the BCGG-
2006 for each company. The ReportedCG and SurveyCG are measured using a binary
indicator [1 for compliance and 0 for non-compliance] separately for compliance as reported
in annual reports and as stated in the survey by each company. The value of binary indicators
are added together to derive company-specific values of ReportedCG and SurveyCG. This
method of measuring corporate governance is based on Gompers, Ishii, & Metriek (2003)
which extensively used by subsequent researchers (see, e.g., Ammann, Oesch, & Schmid, 2011;
Bebchuk, Cohen & Ferrell, 2009; Cremers and Nair, 2005; Brown and Caylor, 2006). The
23
theoretical minimum and maximum value of both ReportedCG and SurveyCG are 0 and 20
respectively as compliance with 20 provisions of the BCGG-2006 is used.
Alternative methods of measuring corporate governance index are assignment of unequal
weight for different mechanisms depending on the importance of the mechanisms (Bhagat,
Bolton & Romano, 2008) and Principal Component Analysis (Larcker, Richardson & Tuna,
2007). However, the purpose of this study is to measure overstatement of compliance with the
BCGG-2006 in annual reports rather than to measure the strength of CG of companies
implying that measuring CG index by assigning unequal weight or using Principal
Component Analysis is less appropriate. Hence, measuring corporate governance index by
assigning weight is avoided.
We define overstatement as the extent to which the reported corporate governance
compliance overstates the admitted compliance as revealed in the survey. It is measured by
calculating the difference between ReportedCG and SurveyCG, scaling the difference by
ReportedCG.
Overstatement statistic = (ReportedCG – SurveyCG)/ ReportedCG expressed as a
percentage
ReportedCG is a corporate governance compliance index based on disclosure in annual
reports of 20 main provisions of the BCGG-2006. SurveyCG is a corporate governance
compliance index of the same 20 provisions, as revealed by a survey.
We then classify the aforesaid 20 provisions into observable and less observable. Observable
provisions are easily verifiable or are subject to strong monitoring by regulatory authorities
such as the BSEC and the DSE. Observable provisions, thus, include nine provisions such as
the number of board members, separation of the chairman and CEO, formation of an audit
24
committee etc. as well as at least four board meetings per year. Board meetings are
categorized as an observable provision because companies are under an obligation to
announce the time, date and venue of the meeting before, and the decisions of board meeting
after, the meeting is held through the DSE website. Less observable provisions are related to
the internal practices of the company and thus, are relatively less visible to an outside
individual or organization. Less observable provisions, hence, include 11 provisions such as
defining the roles and responsibilities of the chairman and CEO, having a written audit
committee charter etc. Based on this classification of provisions, four composite corporate
governance sub-indices based on (1) compliance with observable provisions as reported in
annual reports (observable CG_AR); (2) compliance with observable provisions as stated in
the survey (observable CG_SR); (3) compliance with less observable provisions as reported
in annual reports (less observable CG_AR): and (4) compliance with non-observable
provisions as stated in the survey (less observable CG_SR) are constructed.
Then we determine two new distributions: overstatement in observable CG and
overstatement in less observable CG using method we apply for defining overstatement
statistic and the values of observable CG_AR, observable CG_SR, less observable CG_AR,
and less observable CG_SR.
Our dependent variable to investigate the relationship of overstatement of compliance with
the provision of the BCGG-2006 with control by family is ‘overstatement of compliance’.
Because overstatement statistic was truncated at the lower bound of zero, we used Tobit
regression model. In order to use tobit regression model, we performed a logarithmic
transformation of overstatement statistic (after adding 1). Formally, the overstatement index
can be expressed in this way:
Overstatement index = ln [1+ {(ReportedCG – SurveyCG)/ ReportedCG}]
25
We defined family control, coded 1, if an individual member and members of the founding
family either directly or indirectly own at least 20 percent of ownership and an individual
member of the founding family occupy the position of chairman and CEO, or two members
of the founding family occupy the position of chairman and CEO; 0 otherwise. This
definition of control by family is more aligned with Villalonga and Amit (2006) who argue
that family nature of firms depends on three aspects: ownership, control and management.
We argue that the capture of ownership, key control (i.e., chairman of board) and key
management (i.e., CEO) by sponsor family makes family powerful. In case of Bangladesh,
ownership is concentrated and sponsor family holds the key management positions
frequently. Hence, we combine control in terms of ownership, control and management.
Similar definition of family control is used by Luo and Chung (2013) and Jara‐Bertin,
López‐Iturriaga, & López‐de‐Foronda (2008).
We defined presence of blockholder, coded 1, if at least one of the outside institutional
investors own at least 10 percent of outstanding shares at the end of a company’s accounting
period in 2011; 0 otherwise. This variable captures concentration of institutional ownership
and thus, indicates resource dependence of the firm on institutional ownership. Alternatively,
it indicates power of institutional ownership. This variable is consistent with Hartzell and
Starks (2003).
We assume that external pressures for legitimacy will increase overstatement. Due to lack of
prior research related to overstatement of compliance with corporate governance, we draw
control variables from evidence in prior literature on associations of firm characteristics with
compliance with formal compliance program we control for firm size measured by logarithm
of total assets (Cao, Myers & Omer, 2012), profitability measured by ROA (e.g., Dechow et al.
1995; 1996; Beneish, 1999; Richardson, Tuna, and Wu, 2003; Burns and Kedia, 2006), audit
26
quality measured by audit firm’s affiliation with international big four and requirement to
raise funds from external capital markets measured by the ratio of additional cash raised from
issuance of equity, preferred stock and long-term debt in the overstatement year to total assets
(Richardson et al., 2003).
To compare compliance as reported in annual reports and compliance as stated in the survey,
we used t-test on the means and a Mann-Whitney U-test on the medians. We apply same tests
compare extent of overstatement with respect to observable and non-observable provisions.
To examine the association between overstatement of compliance and family control,
we used a Tobit regression. We used a Tobit regression because the distribution of
overstatement statistic is truncated at the lower bound of zero. Tobit regression is more
appropriate than ordinary least square (OLS) to predict a truncated dependent variable
because the use of OLS provides inconsistent estimates of the parameters (Woolridge, 2002;
p. 668). Tobit regression is used censoring the dependent variable at zero, as presented in the
following equations1:
OVS_G* = β0 + β1FC + β2INS_OWN + γi Controls + εi
OVS_G=0 if OVS_G* ≤ 0
OVS_G= OVS_G* if OVS_G≥ 0
OVS_G = ln (1+ overstatement statistic) ………….. (1)
Where
FC, a dichotomous variable indicating presence of both chairman and CEO from the
sponsor family or an individual member of the sponsor family holding both the position of
chairman and CEO; 0 otherwise;
INS_OWN, percentage of outstanding shares owned by institutional investors at the
end of a company’s accounting period in 2011;
1 See Wooldridge (2002) p. 670-71 for an exposition of Tobit regression model.
27
Control variables include following:
MB, ratio of the firm’s market value of common equity to book value of common
equity at the end of company’s accounting period in 2011;
ROA, the ratio of the profit before interest and taxes to average total assets of the
company at the end of company’s accounting period in 2011;
SIZE, natural log of book value of total assets at the end of company’s accounting
period in 2011;
AUDIT, a dichotomous variable indicating that a company’s auditor is affiliated with
a big-four international audit firms; 0 otherwise.
The measurement of variables and method required for testing H3 and H4 are detailed in
table 2.
<Insert table 2 here>
RESULTS
Overstatement of compliance with the BCGG-2006 in annual reports
The minimum and maximum values of both ReportedCG and SurveyCG are 3 and 20
respectively. One company has a ReportedCG value 3. Although this company does not
include the ‘comply box’ in its annual report, disclosures about the board of directors and
external auditors in annual reports indicate compliance with three provisions of the BCGG-
2006. On the other hand, one other company has a SurveyCG value 3. This additional
company also does not actually comply with the BCGG-2006 but scores three because it has
a board of directors which complies with three provisions of the BCGG-2006. With respect to
the maximum values of ReportedCG and SurveyCG, eight and five companies have a
maximum ReportedCG and SurveyCG score respectively. The ReportedCG and SurveyCG
values of the other companies remain within the range of 3 - 20. Although no company has a
28
SurveyCG value greater than ReportedCG, detailed analysis shows that a few companies
state compliance in the survey only with respect to few individual provisions.
We tested the difference between ReportedCG and SurveyCG using a t-test on the
means and a Wilcoxon rank-sum test on the medians (see Table 3). Our results show that the
mean (median) of ReportedCG is significantly greater than the mean (median) of SurveyCG
at less than 0.01 level. Our results, thus, support H1.
<Insert table 3 here>
Overstatement of compliance with the BCGG-2006 in annual reports is more
pronounced with respect to less observable provisions
Table 4 presents descriptive statistics of observable CG_AR, less observable CG_AR,
observable CG_SR and less observable CG_SR. The mean (median) values of less
observable CG and observable CG based on as reported in annual reports and as stated in the
survey indicates that the gap between less observable CG as reported in annual reports and as
stated in the survey is higher than the gap between observable CG as reported in annual
reports and as stated in the survey.
<Insert table 4 here>
The result of tests comparing overstatement with respect to less observable and
observable provisions of the BCGG-2006 is presented in Table 5.
<Insert table 5 here>
Table 5 shows that the mean and median of overstatement in non-observable CG are
significantly higher than that of overstatement in observable CG at the 0.01 level. This
evidence provides support for Hypothesis 2 that overstatement of compliance in annual
reports is more pronounced with respect to less observable provisions.
Association of overstatement of compliance with the BCGG-2006 in
annual reports with family control and presence of blockholders
The value of the overstatement statistic
The value of the overstatement statistic as a percentage is presented in a bar diagram
in Figure 1. Figure 1 show that 16 firms do not overstate compliance in their annual reports
and have an overstatement statistic of equal to zero. However, the remaining 75 companies
29
have a positive overstatement statistic. The mean (median) of the overstatement statistic is
31.92 (31.25) per cent and standard deviation is 24.87 per cent. This result suggests that, on
average, the level of compliance reported in the annual reports is not a very good reflection of
underlying compliance with the BCGG-2006. The maximum value of the overstatement
statistic is 82.352 per cent. The distribution of the overstatement statistic is truncated at the
lower bound of zero and is not symmetric. Hence, for incorporation in statistical tests, 1 is
added to the overstatement statistic in decimal form and then log is taken on the resulting
variable3. This log (1+ overstatement statistic in decimal form) (OVS_G) is used as the
dependent variable in Tobit model.
<Insert figure 1 here>
Descriptive statistics
Table 6 presents descriptive statistics for OVS_CG and independent variables used in
Tobit regression. Table 6 shows that the mean (median) of OVS_CG is 0.2597 (0.2700). The
sponsor family owns at least 20 per cent of shares and sponsor family members occupy both
the positions of chairman and CEO in the case of 51.45 percent of sample firms. An
institutional investor owns at least 10 percent of ownership in 25.27 percent of sample
companies. The mean (median) size of firms is 21.44 (21.45). The mean (median)
profitability of firms is 6.39 (4.60) percent. The mean (median) FINANCE is 0.0883 (0.0009)
indicating that sample firms raise minimum percentage of funds by issuing equity, preference
shares and long-term debt. Finally, 26.37 percent of sample firms are audited by audit firms
affiliated with an international big-four audit firm.
<Insert table 6 here>
Correlation analysis
Table 7 presents the correlation coefficients between variables used in Tobit
regression. OVS_CG is positively correlated with FC. The correlation coefficient is
significant at the 0.01 level. This result provides initial evidence for H3. OVS_CG is
negatively correlated with INS_OWN at the 0.01 level. This evidence provides preliminary
supports for H4. SIZE, ROA and AUDITOR are negatively correlated with OVS_CG and all
2 The overstatement statistic cannot be 1 because it is obvious for firms to report several items of the BCGG-
2006 such as name of the chairman, CEO and members of board which indicates compliance with provisions
related to separation of CEO, board size and composition. 3 See Woolridge (2002) p. 671 on linearization of a truncated distribution.
30
coefficients are significant at the 0.01 level. FINANCE does not have any significant
correlation with OVS_CG. Among the independent variables, FC is significantly negatively
correlated with SIZE and ROA. This is in line with prior research and suggests that family
controlled firms are on average small in size and less profitable (Faccio et al., 2001).
Furthermore, there are significant correlations between ROA and SIZE; ROA and AUDIT;
and SIZE and AUDIT which is consistent with prior studies (Abbott and Parker, 2000;
Johansen et al., 2013). However, none of the correlation coefficients between independent
variables is greater than (the absolute value of) 0.40. This indicates that multicolinearity is
not a serious issue here.
<Insert table 6 here>
Multiple regression
Table 7 shows the results of the analysis of the influence of control by sponsor family
and control by institutional investors on overstatement of compliance with the BCGG-2006 in
annual reports. As FC is significantly correlated with SIZE and ROA and there are significant
correlations between ROA and SIZE; ROA and AUDIT; and SIZE and AUDIT, we estimate
four different versions of tobit model with varying explanatory variables.
<Insert table 7 here>
The results in Model 1 show that the coefficient of FC is positive and significant at less
than the 0.01 level, indicating that control by sponsor family is positively associated with the
overstatement of compliance with the BCGG-2006 in annual reports. This result provides
support for H3. The results in Model 1 also reveal that the coefficient of INS_OWN is
negative and significant at less than the 0.01 level. This result supports H4ly. The coefficient
of FINACE is not significant at 0.10 level. This evidence suggests that companies that raise
cash by issuing equity, preference shares and long-term debt do not overstate compliance
with the BCGG-2006 more than other firms.
In Model 2, we further control for SIZE. There is no change in sign and significance of
coefficients of FC and INS_OWN. The coefficient on SIZE is negative and significant at the
31
0.01 level. This is not surprising given that larger firms are subject to closer scrutiny by
investment community (Richarson et al., 2003), media (Miller, 2006) and regulators (Reverte,
2009) and larger firms more likely provide credible and trustworthy accounting reports in
order to maintain their reputation (Cao et al., 2012).
In Model 3, when ROA is included as a control variable, there is again no change in sign
and significance of coefficients of FC and INS_OWN. The coefficient of ROA is negative
and significant at 0.01 level. This is consistent with previous evidence that profitable firms
have better CG structure in place (Linck, Netter & Yang, 2008; Coles, Daniel & Naveen, 2008)
and better accounting reporting quality (Cheng and Courtenay, 2006). In model 4, we add
AUDIT as a control variable. Again there is no change in sign and significance of
coefficients of FC and INS_OWN. The coefficient of AUDIT is negatively significant at 0.01
level. This is consistent with prior evidence that large audit firms plays strong CG role (e.g.,
Gul, Kim, & Qiu, 2010) and quality of auditor is positive related with the quality of accounting
disclosure (e.g., Bassett, Koh and Tutticci, 2007).
Four models with different control variables in table 7 provide consistent evidence that
FC is positively and INS_OWN is negatively significantly associated with OVS_CG. These
results provide support for H3 and H4.
8.6 Summary and concluding remarks
This study focuses on the overstatement of compliance with the BCGG-2006 as
reported in annual reports and the association between the extent of this overstatement and
firms’ control characteristics. This study finds that compliance with the BCGG-2006 as
reported in annual reports is significantly higher than the compliance as stated in a survey.
Moreover, this study finds that the overstatement of compliance with the BCGG-2006 in
annual reports is more pronounced with respect to non-observable provisions than observable
provisions. This is probably because firms cannot easily change their internal authority
relationship but are aware of the consequences of disclosure of non-compliance such as
regulatory pressures from the BSEC and stock exchanges. The results indicate that firms
report compliance with the BCGG-2006 in annual reports without actual implementation.
This is consistent with our argument that regulatory pressures for improving CG without
changing other related institutional factors lead to overstatement of compliance. Thus, users
cannot rely solely on the disclosures of compliance in annual reports to evaluate whether the
companies are actually complying with the provisions of the BCGG-2006 and have a sound
CG structure in place.
32
Furthermore, this study finds that overstatement of compliance in annual reports is
positively associated with control by sponsor family. These results hold after taking into
consideration a number of control variables. The firms under control of sponsor families may
find it legitimate not to comply with specific provisions of the BCGG-2006 on the grounds of
protection of organization interest and protection of socio-political wealth of the family.
However, in order to avoid undesirable consequences (e.g., delisting from stock exchanges)
of non-compliance, firms under control of sponsor families report compliance with the
provisions of the BCGG-2006 in annual reports. The positive association between
overstatement of compliance in annual reports and control by sponsor family is in line with
previous findings that family controlled companies maintain a weaker CG structure
(Anderson and Reeb, 2004; Chen, Chen and Cheng, 2008; Chen and Nowland, 2010).
Finally, this study finds that overstatement of compliance in annual reports is
negatively significantly associated with institutional ownership. This result is consistent with
prior research on institutional investors in developed countries (Elyasiani and Jia, 2010;
Solomon and Solomon, 2006; Hartzell and Starks, 2003). In respect of Bangladesh, this result
supports Farooque et al. (2007) that institutional owner owning significant ownership can
exert pressure for better governance.
An important limitation of the results showing an association between overstatement
of compliance with the BCGG-2006 and control by sponsor family is the likely endogeneity
of control by the sponsor family. This study does not address the issue of causality directly
because it uses survey data. Survey data by nature are cross-sectional (Van der Stede, 2013).
Hence, several econometric tests of causality (e.g., the effect of change in control by sponsor
families on change in overstatement of compliance with the BCGG-2006 in annual reports
(Woodward, 2003, pp. 35-36) cannot be performed. Furthermore, there is no plausible
instrument for control by sponsor families. However, control by the sponsor families is
unlikely to be endogenous because family control is a general pattern of control in
Bangladesh (Haque et al., 2011). Moreover, the BCGG-2006 was introduced in 2006,
indicating that overstatement of compliance with the BCGG-2006 in annual reports is not the
cause of control by sponsor families.
We further acknowledge that there may be number of additional logics that can affect
the extent of overstatements such as directors’ training and educational qualifications.
However, given the data availability, we cannot test that impact. Finally, arguments behind
33
some of our hypotheses are consistent with agency theory, but none of these arguments
contradicts with institutional logic approach.
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Review, 16(1): 1–15.
42
Table 1: An analysis of respondent firms by industry sector, market
capitalisation and total assets
Populationb Sample
c
n Percentage n Percentage
(a) Industry sectora
Cement 6 4.41 4 4.40
Ceramics 5 3.68 5 5.49
Enginnering 22 16.18 13 14.29
Food 16 11.76 9 9.89
Fuel and Power 13 9.56 9 9.89
IT 5 3.68 3 3.30
Jute 3 2.21 2 2.20
Miscellaneous 9 6.62 5 5.49
Paper and Printing 1 0.73 0 0.00
Pharmaceuticals 20 14.71 16 17.57
Services and Real Estate 4 2.94 3 3.30
Tannery 5 3.68 4 4.40
Telecommunications 1 0.73 1 1.10
Textile 25 18.38 17 18.68
Travel and Leisure 1 0.73 0 0.00
Total 136 100.00 91 100.00
(b) Market capitalisationa
First Quartile 38 27.94 18 19.78
Second Quartile 35 25.74 21 23.08
Third Quartile 33 24.26 27 29.67
Fourth Quartile 30 22.06 25 27.47
Total 136 100.00 91 100.00
Test results χ2 = 2.89; p = 0.409
(c) Total Assetsa
First Quartile 38 27.94 17 18.68
Second Quartile 35 25.74 23 25.28
Third Quartile 32 23.53 25 27.47
Fourth Quartile 31 22.79 26 28.57
Total 136 100.00 91 100.00
Test results χ2 = 2.99; p = 0.392
Notes: aChi-squre tests of significant difference between population and
sample based on market capitalization group (χ2=2.89; p=0.409) and total
assets group (χ2=2.99; p=0.392) are not rejected. bPopulation consists of 136 non-financial companies listed on Dhaka Stock
Exchange, Bangladesh on 31 December, 2011. cSample consists of 91 companies that responds the survey conducted in
January – March, 2012.
43
Table 2: Measurement and data sources for dependent and independent variables
Variables Proxy Measurement Sources of data
Dependent variable
OVS_CG Overstatement of
compliance with the
BCGG-2006. A higher
value corresponds to more
overstatement.
Log (1 + Overstatement statistic) Aannual reports and survey
conducted in January to
March, 2012
Explanatory variables
FC Control by the sponsor
family
A dummy variable indicating that sponsor family
owns at least 20 percent of ownership and
appoints family members as both chairman and
CEO; 0 otherwise.
Survey –January to March,
2012
INS_OWN Control by institutional
investors
An outside institutional investor own at least 10
percent of ownership
Annual Reports released
during 2011
Control variables
FINANCE Need to access external
capital markets
The ratio of additional cash raised from issuance
of equity, preferred stock and long-term debt in
the overstatement year to total assets
Annual Reports released
during 2011
SIZE Firm size Natural log of book value of total assets at the
end of company’s accounting period in 2011
Annual Reports released
during 2011
ROA Profitability The ratio of the profit before interest and taxes to
average total assets of the company at the end of
company’s accounting period in 2011.
Annual Reports released
during 2011
AUDIT Auditors’ Quality A dichotomous variable indicating that the
company’s auditor is affiliated with a big-four
international audit firm; 0 otherwise (Lang and
Lundholm, 1993; Ajinkya et al. 2005).
Annual Reports released
during 2011 website of audit
firms.
44
Table 3: Univariate tests comparing ReportedCG and SurveyCG
ReportedCG SurveyCG p-value
Meana 16.25
11.04
0.000***
Medianb 17
11
0.000***
S. D 3.46 4.98
Notes: Sample is 91 firms. ReportedCG is a corporate governance compliance index of 20 important provisions
of the BCGG-2006 as reported in annual reports. SurveyCG is a corporate governance compliance index of
same 20 provisions of the BCGG-2006 as revealed by the survey. aDifference in means is tested by using t-tests with unequal variance.
bDifference in medians is tested by using Wilcoxon rank sum tests.
*** Significant beyond 0.01 levels (one-tail).
Table 4: Descriptive statistics of observable CG_AR, observable CG_SR, non-
observable CG_AR, non-observable CG_SR Statistics (1) Obs_CG_AR (2) Obs_CG_SR (3) Non-
obs_CG_AR
(4) Non-
obs_CG_SR
Minimum 3.0 2.0 0 0
Mean 7.99 6.71 8.27 4.41
Median 9.0 8.0 9.0 4.0
Maximum 9.0 9.0 11.0 11.0
S.D 1.73 2.36 2.17 3.21
Key: Sample is 91 firms. Obs_CG_AR is a corporate governance compliance index of nine important
provisions of the BCGG-2006 as reported in annual reports; Obs_CG_SR is a corporate governance
compliance index of nine important provisions of the BCGG-2006 as stated in survey. Non-
obs_CG_AR is a corporate governance compliance index of 11 important provisions of the BCGG-
2006 as reported in annual reports; Non-obs_CG_SR is a corporate governance compliance index of
11 important provisions of the BCGG-2006 as revealed by a survey.
Table 5: Descriptive statistics and univariate tests comparing overstatement in observable and
less observable CG OVS_Less-obs_CG OVS_Obs_CG P-value
Minimum 0 0
Meana 3.87 1.27 0.000***
Medianb 3 0 0.000***
Maximum 10 6
S. D 2.89 1.96
Key: Sample is 91 firms. OVS_Less_obs_CG is the difference between less-observable CG_AR and less-
observable CG_SR. OVS_Obs_CG is the difference between observable CG_AR and observable CG_SR. Less-
observable CG_AR is a corporate governance compliance index of 11 less-observable provisions of the BCGG-
2006 as reported in annual reports. Less-observable CG_SR is a corporate governance compliance index of 11
less-observable provisions of the BCGG-2006 as revealed by a survey. Observable CG_AR is a corporate
governance compliance index of nine observable provisions of the BCGG-2006 as reported in annual reports.
Observable CG_SR is a corporate governance compliance index of nine observable provisions of the BCGG-
2006 as revealed by a survey aDifference in means is tested by using t-tests with unequal variance.
bDifference in medians is tested by using Wilcoxon rank sum tests.
*** Significant beyond 0.01 levels (one-tail).
45
Figure 1: Distribution of the overstatement statistic
Key: Sample is 91 firms. Overstatement statistic is calculated by scaling the difference between ReportedCG
and SurveyCG by ReportedCG. ReportedCG is a corporate governance compliance index of 20 important
provisions of the BCGG-2006 as reported in annual reports and SurveyCG is a corporate governance
compliance index of same 20 important provisions of the BCGG-2006 as revealed by a survey.
Table 6: Descriptive statistics of dependent and independent variables used in Tobit
regression
Variable N Mean S.D Min Median Max
OVS_G 91 0.2597 0.1869 0 0.27 0.5988
SIZE 91 21.44 1.62 17.32 21.45 25.41
ROA 91 6.39 7.14 -12 4.6 29.37
FINANCE 91 0.0883 0.171 0 0.0009 0.72
Dichotomous variables
1 0
FC 91 47(51.45%) 44 (48.35%)
INS_OWN 91 23(25.27%) 68(74.73%)
AUDIT 91 24 (26.37%) 67 (73.63%)
Key: OVS_G is Log (1 + overstatement statistic in decimal form). The overstatement statistic is the difference
between ReportedCG and SurveyCG scaled by ReportedCG. SIZE is the natural logarithm of book value of
total assets at the end of company’s accounting period in 2011. ROA is the ratio between net profit before
extraordinary items and average total assets at the end of company’s accounting period in 2011. FINANCE is
the ratio of additional cash raised from issuance of equity, preferred stock and long-term debt to average total
assets at the end of company’s accounting period in 2011. FC is a dummy variable indicating sponsor family
owns at least 20 percent of ownership and presence of both chairman and CEO from the sponsor family or an
individual member of the sponsor family holding both the position of chairman and CEO; 0 otherwise.
INS_OWN is a dummy variable indicating an individual institutional investor who is not affiliated with
sponsor family owns at least 10 percent of ownership at the end of a company’s accounting period in 2011.
AUDIT is a dummy variable equals 1 if the audit firm of the company is affiliated with international big-four
audit firms, 0 otherwise.
No
. of
firm
s
Overstatement statistic in percentage
46
Table7: Pearson and Spearman correlation between variables
OVS_CG FC INS_OWN SIZE ROA AUDIT FINANCE
OVS_CG
0.458*** -0.279*** -0.616*** -0.481*** -0.638*** 0.117
FC 0.465***
-0.045 -0.346*** -0.345*** -0.169 0.099
INS_OWN -0.277*** -0.045
0.009 0.012 0.168 -0.131
SIZE -0.612*** -0.365*** 0.026
0.293*** 0.039*** 0.094
ROA -0.407*** -0.287*** 0.019 0.353***
0.369*** -0.025
AUDIT -0.629*** -0.169 0.168 0.361*** 0.312***
-0.053
FINANCE 0.080 -0.034 -0.059 -0.007 0.022 -0.028
Notes: OVS_CG is Log (1 + overstatement statistic in decimal form). The overstatement statistic is the
difference between ReportedCG and SurveyCG scaled by ReportedCG. FC is a dummy variable indicating
sponsor family owns at least 20 percent of ownership and presence of both chairman and CEO from the
sponsor family or an individual member of the sponsor family holding both the position of chairman and
CEO; 0 otherwise. INS_OWN is a dummy variable indicating an individual institutional investor who is not
affiliated with sponsor family owns at least 10 percent of ownership at the end of a company’s accounting
period in 2011. SIZE is the natural logarithm of book value of total assets at the end of company’s accounting
period in 2011. ROA is the ratio between net profit before extraordinary items and average total assets at the
end of company’s accounting period in 2011. AUDIT is a dummy variable equals 1 if the audit firm of the
company is affiliated with international big-four audit firms, 0 otherwise. FINANCE is the ratio of additional
cash raised from issuance of equity, preferred stock and long-term debt to average total assets at the end of
company’s accounting period in 2011.
*** = Statistically significant at less than 0.01 level.
47
Model 1 Model 2 Model 3 Model 4
Explanatory variables
Constant 0.165*** 1.592*** 1.146** 1.127***
(0.033) (0.243) (0.239) (0.205)
FC 0.194*** 0.112*** 0.096*** 0.099***
(0.039) (0.035) (0.034) (0.029)
INS_OWN -0.125*** -0.118*** -0.122*** -0.095***
(0.046) (0.038) (0.037) (0.032)
FINANCE 0.096 0.085 0.093 0.087
(0.115) (0.095) (0.092) (0.077)
SIZE
-0.064*** -0.056*** -0.039***
(0.011) (0.011) (0.009) ROA
-0.007*** -0.004**
(0.002) (0.0020 AUDIT
-0.215***
(0.034)
Pseudo R2 1.372 2.790 3.164 4.823
LR chi-square statistics 28.55*** 58.09*** 65.86*** 100.40***
Number of observations 91 91 91 91 OVS_CG is Log (1 + overstatement statistic in decimal form). The overstatement statistic is the difference
between ReportedCG and SurveyCG scaled by ReportedCG.FC is a dummy variable indicating sponsor
family owns at least 20 percent of ownership and presence of both chairman and CEO from the sponsor
family or an individual member of the sponsor family holding both the position of chairman and CEO; 0
otherwise. INS_OWN is a dummy variable indicating an individual institutional investor who is not
affiliated with sponsor family owns at least 10 percent of ownership at the end of a company’s accounting
period in 2011. FINANCE is the ratio of additional cash raised from issuance of equity, preferred stock and
long-term debt to average total assets at the end of company’s accounting period in 2011. SIZE is the natural
logarithm of book value of total assets at the end of company’s accounting period in 2011. ROA is the ratio
between net profit before extraordinary items and average total assets at the end of company’s accounting
period in 2011. AUDIT is a dummy variable equals 1 if the audit firm of the company is affiliated with
international big-four audit firms, 0 otherwise.
***, ** coefficients are statistically significant at 0.01 and 0.05 level.
i The names of company sectaries and address of headquarters of companies are retrieved from
http://www.cdbl.com.bd/issuer_details.php on 31 December, 2011.